Sparse Peripheral Counter-vection Flow Visualization with Reverse Optical Flow for VR Sickness Reduction

Song Min Kim, Gerard J. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sickness is one of major obstacles in the wider adoption of virtual reality. Vection is attributed as the main cause, leading to sensory mismatch between the visual and vestibular senses. One possible measure to reduce the extent of such VR sickness is provide low res-olution peripheral 'countervection' visualization as was suggested by [7]. In this poster, we present an extension/improvement to this work, where the countervection flow visualization is based on re-verse optical flow of the features in the scene rather than a projection of a moving strip patterns. We evaluated our extension and its effect in a pilot comparative experiment against the original countervection visualization method (simulated), and obtained positive results.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages798-799
Number of pages2
ISBN (Electronic)9781665453653
DOIs
Publication statusPublished - 2022
Event21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022 - Singapore, Singapore
Duration: 2022 Oct 172022 Oct 21

Publication series

NameProceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022

Conference

Conference21st IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022
Country/TerritorySingapore
CitySingapore
Period22/10/1722/10/21

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Displays and imagers
  • Human computer interaction (HCI)
  • Interaction devices
  • Interaction paradigms
  • Optical flow
  • peripheral vision
  • simulator sickness
  • virtual reality

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Media Technology
  • Modelling and Simulation

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